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Senior Tech Lead – SnowFlake
YASH Technologies. Lead the design, development, and implementation of scalable data solutions using Snowflake, Microsoft Fabric, and SQL Server .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data solutions using Snowflake, Microsoft Fabric, and SQL Server, while ensuring data security and compliance. Proven ability to lead data engineering projects, optimize performance, and mentor teams in best practices and governance frameworks.
Highest-signal resume keywords
Snowflake ArchitectureMicrosoft FabricSQL Server DevelopmentETL/ELT DevelopmentData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData WarehousingAdvanced SQLData ModelingPythonPySparkETLELTPerformance TuningCloud Migration
Soft Skills
Technical LeadershipCollaborationMentoringCommunicationAgile Methodologies
Tools & Technologies
Microsoft FabricSnowflakeSQL ServerAzure Data FactoryDatabricksPower BIGitCI/CDDevOpsFivetran
Certifications & Qualifications
Snowflake SnowProMicrosoft Fabric/Azure Certifications
Industry Keywords
Data GovernanceData SecurityData IntegrationAnalytics PlatformsData QualityData ArchitectureCloud ModernizationEnterprise Data SolutionsData CatalogingData Lineage
Tech Stack
Tools & technologiesAzureCloudETLInformaticaPySparkPythonSQLSSIS
About the role
Key responsibilities & impact- Lead the design, development, and implementation of scalable data solutions using Snowflake, Microsoft Fabric, and SQL Server
- Architect enterprise data warehouse, lakehouse, and analytics platforms
- Design and develop ETL/ELT pipelines and data integration frameworks
- Drive cloud migration, modernization, and platform transformation initiatives
- Define and enforce data architecture standards, best practices, and governance frameworks
- Ensure data security, compliance, and access management across platforms
- Optimize performance, scalability, reliability, and cost efficiency of data solutions
- Provide technical leadership, conduct code reviews, and mentor development teams
- Implement CI/CD pipelines, DevOps practices, and automated deployment frameworks
- Collaborate with business stakeholders to gather requirements and translate them into technical solutions
- Lead technical design workshops, architecture reviews, and solution assessments
- Develop and maintain data models, metadata standards, and data quality frameworks
- Establish monitoring, alerting, and operational support processes for production systems
- Manage release planning, environment strategy, and deployment governance
- Evaluate emerging technologies and recommend improvements to the enterprise data landscape
- Work with reporting, analytics, and BI teams to enable self-service analytics
- Guide teams in data governance, lineage, cataloging, and audit requirements
- Drive Agile methodologies and engineering excellence across the team
Requirements
What you’ll need- 8+ years of experience in Data Engineering, Data Warehousing, or BI solutions
- Strong hands-on experience with Snowflake Architecture, Development, and Administration
- Experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Engineering, Data Factory, and OneLake
- SQL Server Development, Database Design, and Performance Tuning
- Advanced SQL, ETL/ELT Development, and Data Modeling
- Python and/or PySpark
- Git, CI/CD, DevOps, Data Governance, and Security
- Experience leading enterprise-scale data projects
- Preferred: MSBI, including SSIS, SSAS, SSRS, and Power BI
- Preferred: Azure Data Factory, ADLS Gen2, Synapse Analytics, and Azure DevOps
- Preferred: Fivetran, Qlik Replicate, Talend, Informatica, Databricks, and Microsoft Purview
- Preferred: Snowflake SnowPro and Microsoft Fabric/Azure certifications
- Preferred: Experience in cloud migration and data modernization programs
Benefits
Comp & perks- Flexible work arrangements
- Career-oriented skilling models
- Continuous learning, unlearning, and relearning opportunities
- All support needed for the realization of business goals
- Stable employment
- Inclusive team environment
- Ethical corporate culture
- Great atmosphere